Senior Data Scientist

🕒 August 21

🇺🇸 United States – Remote

💵 $151.7k - $242.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Serve as the analytics owner for broker data products and go-to-market • Scope and deliver end-to-end measurement and data science projects from problem framing through productionization • Design broker-level success metrics and causal inference frameworks, including matching and difference-in-differences • Partner with Product Managers and go-to-market teams on measurement roadmaps and data product development • Conduct analytical deep dives and opportunity sizing for product and go-to-market roadmaps • Provide data-driven recommendations to senior leadership, communicating trade-offs, assumptions, and impact • Build reliable, scalable analytical pipelines, scheduled jobs, and reusable data products • Leverage AI-assisted analytics workflows while designing deterministic, verifiable analytical logic • Support externally facing product value narratives with rigorous methodology • Work as an individual contributor with no direct reports

🎯 Requirements

• 5+ years of experience in data science, product analytics, or a related quantitative field • Strong foundation in statistics, causal inference, and experimentation (A/B testing) • Strong stakeholder management skills and experience partnering with Product Managers, engineers, and go-to-market teams • Strong SQL and Python skills • Experience working with large datasets in modern data platforms such as Spark and Databricks • Experience with product analytics, including measurement, experimentation, clickstream and segment analysis • Experience building reliable, scalable analytical pipelines and scheduled data jobs, or contributing to data and analytics platform development • Ability to work independently in ambiguous spaces as a self-starting, end-to-end owner • Master's degree or equivalent experience in statistics or a similar quantitative discipline is preferred • Data visualization experience such as Tableau is preferred but not required • B2B product and business strategy experience is a plus • Experience building end-to-end predictive ML models is a strong plus

🏖️ Benefits

• Remote work from a physical location of choice within the 50 United States, with limited exceptions • Equity awards based on experience, performance, and location • Flexible work through Cloud HQ • Opportunities for cross-domain learning and influence • Equal employment opportunity and accommodation support